Remanufacturing plays a vital role in promoting the development of circular economy for its great advantages in energy saving, material saving and emission reduction. Remanufacturing process planning (RPP), which affects the performance of remanufacturing greatly, becomes increasingly important to the remanufacturing enterprises. In general, RPP is knowledge dependent. Some remanufacturing enterprises, especially small and middle-sized remanufacturing enterprises (SMREs) may have inadequate remanufacturing knowledge, which makes it difficult to implement a proper RPP. Therefore, how to share and make full use of the knowledge in different remanufacturing enterprises for RPP has become a bottleneck. To this end, a hybrid method integrating blockchain (BC) and case-based reasoning (CBR) for RPP, which can take full advantage of the remanufacturing knowledge by cross enterprises knowledge sharing, is presented in this paper. In this proposed method, a BC network was utilized to record the remanufacturing knowledge and its associated transactions to guarantee the security and reliability of knowledge sharing, and CBR was employed to retrieve and reuse the most suitable solution by analyzing the similarity between previous remanufacturing cases and new case with the nearest neighbor algorithm. Finally, a used lathe guideway was set as a case study to verify the feasibility and superiority of the proposed approach. The hybrid method has been applied in a prototype system written in HTML and JavaScript. The results indicated that the proposed approach can effectively help SMREs to obtain optimum solutions for RPP with comprehensive economic, environmental and social benefits.

再制造以其在节能，节约材料和减少排放方面的巨大优势，对促进循环经济的发展起着至关重要的作用。再制造过程计划（RPP）对再制造企业的影响越来越大，而再制造过程计划（RPP）极大地影响着再制造的性能。通常，RPP是依赖于知识的。一些再制造企业，尤其是中小型再制造企业（SMRE），其再制造知识可能不足，这使得实施适当的RPP变得困难。因此，如何在RPP的不同再制造企业中共享和充分利用知识已成为瓶颈。为此，一种混合​​方法将RPP的区块链（BC）和基于案例的推理（CBR）集成在一起，本文提出了一种可以通过跨企业知识共享来充分利用再制造知识的方法。在该方法中，利用BC网络记录再制造知识及其相关交易，以保证知识共享的安全性和可靠性，并通过分析先前再制造案例与制造案例之间的相似性，使用CBR来检索和重用最合适的解决方案。最近邻居算法的新案例。最后，设置了一个二手车床导轨作为案例研究，以验证该方法的可行性和优越性。混合方法已应用于用HTML和JavaScript编写的原型系统中。结果表明，所提出的方法可以有效地帮助SMRE获得具有综合经济效益的RPP的最佳解决方案，